| Statistical Programs |
| College of Agriculture and Life Sciences |
University of Idaho |
| Seminar Announcement |
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"Applied Statistics in Agriculture" |
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Approximately sufficient statistics and Bayesian computation: How well do you know your ABC'S?
Presented By |
| Dr. Paul Joyce |
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Deptartment of Mathematics University of Idaho |
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Tuesday, February 16 3:30 P. M. Ag. Science 62 |
| The analysis of high-dimensional data sets is often forced to rely upon well-chosen summary statistics. A systematic approach to choosing such statistics, that is based upon a sound theoretical framework, is currently lacking. In this talk, A sequential scheme for scoring statistics according to whether their inclusion in the analysis will substantially improve the quality of inference is developed. The method can be applied to high-dimensional data sets for which exact likelihood equations are not possible. We illustrate the potential of the approach with a series of examples drawn from genetics. In summary, in a context in which well-chosen summary statistics are of high importance, we attempt to put the `well' into `chosen'. |
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